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ORCIDSilvia Ferrari
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- award (2005): Presidential Early Career Award for Scientists and Engineers
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Journal Articles
- 2023
[j39]Andre A. Paradise, Sushrut Surve, Jovan C. Menezes, Madhav Gupta, Vaibhav Bisht, Kyung Rak Jang, Cong Liu, Suming Qiu, Junyi Dong, Jane Shin, Silvia Ferrari:
RealTHASC - a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations. Frontiers Virtual Real. 4 (2023)- [j38]Keith A. LeGrand
, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT). IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7195-7207 (2023) - 2022
- [j37]Frances Zhu, Dongheng Jing, Frederick Leve, Silvia Ferrari:
NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints. Frontiers Robotics AI 9 (2022) - [j36]Hongchuan Wei, Keith A. LeGrand, Andre A. Paradise, Silvia Ferrari:
Real-Time Communication Control in Decentralized Autonomous Sensor Networks. J. Aerosp. Inf. Syst. 19(6): 394-405 (2022) - [j35]Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev J. Koppal:
Fast Foveating Cameras for Dense Adaptive Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4867-4878 (2022) - [j34]Junyi Dong, Qingze Huo, Silvia Ferrari:
A Holistic Approach for Role Inference and Action Anticipation in Human Teams. ACM Trans. Intell. Syst. Technol. 13(6): 95:1-95:24 (2022) - [j33]Jake Gemerek, Bo Fu, Yucheng Chen, Zeyu Liu, Min Zheng, David van Wijk, Silvia Ferrari:
Directional Sensor Planning for Occlusion Avoidance. IEEE Trans. Robotics 38(6): 3713-3733 (2022) - 2021
- [j32]Silvia Ferrari, Thomas A. Wettergren, Richard Linares, Keith A. LeGrand:
Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks. IEEE Trans. Control. Netw. Syst. 8(2): 527-529 (2021) - [j31]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. 8(2): 678-689 (2021) - 2019
- [j30]Pingping Zhu, Silvia Ferrari, Julian Morelli, Richard Linares, Bryce Doerr:
Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. Sensors 19(7): 1524 (2019) - [j29]Hongchuan Wei, Pingping Zhu, Miao Liu, Jonathan P. How, Silvia Ferrari:
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. IEEE Trans. Autom. Control. 64(1): 159-173 (2019) - 2018
- [j28]Xu Zhang, Greg Foderaro, Craig Henriquez, Silvia Ferrari:
A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks. Int. J. Neural Syst. 28(2): 1750015:1-1750015:20 (2018) - [j27]Greg Foderaro, Pingping Zhu, Hongchuan Wei, Thomas A. Wettergren, Silvia Ferrari:
Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking. IEEE Trans. Control. Netw. Syst. 5(1): 142-153 (2018) - 2017
- [j26]Hanna Oh-Descher, Jeffrey M. Beck, Silvia Ferrari, Marc A. Sommer, Tobias Egner:
Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration. NeuroImage 162: 138-150 (2017) - [j25]Greg Foderaro, Ashleigh Swingler, Silvia Ferrari:
A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time. IEEE Trans. Comput. Intell. AI Games 9(2): 153-165 (2017) - [j24]Keith Rudd, Greg Foderaro, Pingping Zhu, Silvia Ferrari:
A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Robotics 33(5): 1226-1232 (2017) - 2016
- [j23]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. 74: 360-368 (2016) - [j22]Pinaki Mazumder, D. Hu, Idongesit E. Ebong, Xu Zhang, Z. Xu, Silvia Ferrari:
Digital implementation of a virtual insect trained by spike-timing dependent plasticity. Integr. 54: 109-117 (2016) - 2015
- [j21]Keith Rudd, Silvia Ferrari:
A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks. Neurocomputing 155: 277-285 (2015) - [j20]Hongchuan Wei, Silvia Ferrari:
A Geometric Transversals Approach to Sensor Motion Planning for Tracking Maneuvering Targets. IEEE Trans. Autom. Control. 60(10): 2773-2778 (2015) - 2014
- [j19]Greg Foderaro, Silvia Ferrari, Thomas A. Wettergren:
Distributed optimal control for multi-agent trajectory optimization. Autom. 50(1): 149-154 (2014) - [j18]Hongchuan Wei, Silvia Ferrari:
A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets. IEEE Trans. Computers 63(11): 2633-2646 (2014) - [j17]Keith Rudd, Gianluca Di Muro, Silvia Ferrari:
A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations. IEEE Trans. Neural Networks Learn. Syst. 25(3): 571-584 (2014) - [j16]Wenjie Lu, Guoxian Zhang, Silvia Ferrari:
An Information Potential Approach to Integrated Sensor Path Planning and Control. IEEE Trans. Robotics 30(4): 919-934 (2014) - 2012
- [j15]Xu Zhang, Greg Foderaro, Craig S. Henriquez, Antonius M. J. VanDongen, Silvia Ferrari:
A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques. Adv. Artif. Neural Syst. 2012: 713581:1-713581:16 (2012) - [j14]Niru Maheswaranathan, Silvia Ferrari, Antonius M. J. VanDongen, Craig Henriquez:
Emergent bursting and synchrony in computer simulations of neuronal cultures. Frontiers Comput. Neurosci. 6: 15 (2012) - [j13]Guoxian Zhang, Silvia Ferrari, Chenghui Cai:
A Comparison of Information Functions and Search Strategies for Sensor Planning in Target Classification. IEEE Trans. Syst. Man Cybern. Part B 42(1): 2-16 (2012) - 2011
- [j12]Nicola Bezzo, Rafael Fierro, Ashleigh Swingler, Silvia Ferrari:
A Disjunctive Programming Approach for Motion Planning of Mobile Router Networks. Int. J. Robotics Autom. 26(1) (2011) - 2010
- [j11]Silvia Ferrari, Guoxian Zhang, Thomas A. Wettergren:
Probabilistic Track Coverage in Cooperative Sensor Networks. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1492-1504 (2010) - 2009
- [j10]Guoxian Zhang, Silvia Ferrari, M. Qian:
An Information Roadmap Method for Robotic Sensor Path Planning. J. Intell. Robotic Syst. 56(1-2): 69-98 (2009) - [j9]Silvia Ferrari, Rafael Fierro, Brent Perteet, Chenghui Cai, Kelli Baumgartner:
A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network. SIAM J. Control. Optim. 48(1): 292-320 (2009) - [j8]Silvia Ferrari:
Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following. IEEE Trans. Neural Networks 20(3): 406-419 (2009) - [j7]Silvia Ferrari, Chenghui Cai:
Information-Driven Search Strategies in the Board Game of CLUE®. IEEE Trans. Syst. Man Cybern. Part B 39(3): 607-625 (2009) - [j6]Chenghui Cai, Silvia Ferrari:
Information-Driven Sensor Path Planning by Approximate Cell Decomposition. IEEE Trans. Syst. Man Cybern. Part B 39(3): 672-689 (2009) - 2008
- [j5]Kelli Baumgartner, Silvia Ferrari, G. Palermo:
Constructing Bayesian networks for criminal profiling from limited data. Knowl. Based Syst. 21(7): 563-572 (2008) - [j4]Kelli Baumgartner, Silvia Ferrari:
A Geometric Transversal Approach to Analyzing Track Coverage in Sensor Networks. IEEE Trans. Computers 57(8): 1113-1128 (2008) - [j3]Silvia Ferrari, Mark Jensenius:
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training. IEEE Trans. Neural Networks 19(6): 996-1009 (2008) - [j2]Silvia Ferrari, James Edward Steck, Rajeev Chandramohan:
Adaptive Feedback Control by Constrained Approximate Dynamic Programming. IEEE Trans. Syst. Man Cybern. Part B 38(4): 982-987 (2008) - 2005
- [j1]Silvia Ferrari, Robert F. Stengel:
Smooth function approximation using neural networks. IEEE Trans. Neural Networks 16(1): 24-38 (2005)
Conference and Workshop Papers
- 2023
- [c52]Usama Bin Sikandar, Hannah Choi, Joy Putney, Hengye Yang, Silvia Ferrari, Simon Sponberg:
Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program. IJCNN 2023: 1-8 - 2022
- [c51]Hengye Yang, Joy Putney, Usama Bin Sikandar, Pingping Zhu, Simon Sponberg, Silvia Ferrari:
A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. IJCNN 2022: 1-7 - 2021
- [c50]Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking. FUSION 2021: 1-8 - 2020
- [c49]Junyi Dong, Pingping Zhu, Silvia Ferrari:
Oriented Pedestrian Social Interaction Modeling and Inference. ACC 2020: 1373-1370 - [c48]Chang Liu, Zhihao Liao, Silvia Ferrari:
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CDC 2020: 3066-3071 - [c47]Keith A. LeGrand, Silvia Ferrari:
The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST). FUSION 2020: 1-9 - [c46]Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev J. Koppal:
FoveaCam: A MEMS Mirror-Enabled Foveating Camera. ICCP 2020: 1-11 - 2019
- [c45]Julian Morelli, Pingping Zhu, Bryce Doerr, Richard Linares, Silvia Ferrari:
Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. ICRA 2019: 3356-3362 - [c44]Chang Liu, Yucheng Chen, Jake Gemerek, Hengye Yang, Silvia Ferrari:
Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors. ICRA 2019: 8034-8040 - 2017
- [c43]Taylor S. Clawson, Sawyer B. Fuller, Robert J. Wood, Silvia Ferrari:
A blade element approach to modeling aerodynamic flight of an insect-scale robot. ACC 2017: 2843-2849 - [c42]Pingping Zhu, Jason T. Isaacs, Bo Fu, Silvia Ferrari:
Deep learning feature extraction for target recognition and classification in underwater sonar images. CDC 2017: 2724-2731 - [c41]Taylor S. Clawson, Terrence C. Stewart, Chris Eliasmith, Silvia Ferrari:
An adaptive spiking neural controller for flapping insect-scale robots. SSCI 2017: 1-7 - 2016
- [c40]Taylor S. Clawson, Silvia Ferrari, Sawyer B. Fuller, Robert J. Wood:
Spiking neural network (SNN) control of a flapping insect-scale robot. CDC 2016: 3381-3388 - [c39]Pingping Zhu, Julian Morelli, Silvia Ferrari:
Value function approximation for the control of multiscale dynamical systems. CDC 2016: 5471-5477 - 2015
- [c38]Pingping Zhu, Hongchuan Wei, Wenjie Lu, Silvia Ferrari:
Multi-kernel probability distribution regressions. IJCNN 2015: 1-7 - 2014
- [c37]Anna Chiara Bellini, Wenjie Lu, Roberto Naldi, Silvia Ferrari:
Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions. ACC 2014: 590-597 - [c36]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John J. Leonard, Silvia Ferrari:
Optimized visibility motion planning for target tracking and localization. IROS 2014: 76-82 - [c35]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS 2014: 95-102 - 2013
- [c34]Ashleigh Swingler, Silvia Ferrari:
On the duality of robot and sensor path planning. CDC 2013: 984-989 - [c33]Wenjie Lu, Silvia Ferrari:
An approximate dynamic programming approach for model-free control of switched systems. CDC 2013: 3837-3844 - [c32]Keith Rudd, Greg Foderaro, Silvia Ferrari:
A generalized reduced gradient method for the optimal control of multiscale dynamical systems. CDC 2013: 3857-3863 - [c31]Hongchuan Wei, Weston A. Ross, Stefano Varisco, Philippe Krief, Silvia Ferrari:
Modeling of human driver behavior via receding horizon and artificial neural network controllers. CDC 2013: 6778-6785 - [c30]Xu Zhang, Ziye Xu, Craig Henriquez, Silvia Ferrari:
Spike-based indirect training of a spiking neural network-controlled virtual insect. CDC 2013: 6798-6805 - [c29]David J. Zielinski, Ryan P. McMahan, Wenjie Lu, Silvia Ferrari:
ML2VR: providing MATLAB users an easy transition to virtual reality and immersive interactivity. VR 2013: 83-84 - [c28]David J. Zielinski, Regis Kopper, Ryan P. McMahan, Wenjie Lu, Silvia Ferrari:
Intercept tags: enhancing intercept-based systems. VRST 2013: 263-266 - 2012
- [c27]Domagoj Tolic, Rafael Fierro, Silvia Ferrari:
Optimal self-triggering for nonlinear systems via Approximate Dynamic Programming. CCA 2012: 879-884 - [c26]Greg Foderaro, Ashleigh Swingler, Silvia Ferrari:
A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man. CIG 2012: 281-287 - [c25]Wenjie Lu, Guoxian Zhang, Silvia Ferrari:
A comparison of information theoretic functions for tracking maneuvering targets. SSP 2012: 149-152 - 2011
- [c24]Greg Foderaro, Vikram Raju, Silvia Ferrari:
A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man. ISIC 2011: 191-197 - [c23]Silvia Ferrari, Michael Anderson, Rafael Fierro, Wenjie Lu:
Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming. CDC/ECC 2011: 121-127 - 2010
- [c22]Greg Foderaro, Craig Henriquez, Silvia Ferrari:
Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity. CDC 2010: 911-917 - [c21]Brian Bernard, Silvia Ferrari:
A geometric transversals approach to analyzing track coverage of omnidirectional sensor networks for maneuvering targets. CDC 2010: 1243-1249 - [c20]Wenjie Lu, Guoxian Zhang, Silvia Ferrari:
A randomized hybrid system approach to coordinated robotic sensor planning. CDC 2010: 3857-3864 - [c19]Greg Foderaro, Silvia Ferrari:
Necessary conditions for optimality for a distributed optimal control problem. CDC 2010: 4831-4838 - [c18]Ashleigh Swingler, Silvia Ferrari:
A cell decomposition approach to cooperative path planning and collision avoidance via disjunctive programming. CDC 2010: 6329-6336 - [c17]Silvia Ferrari, Greg Foderaro:
A potential field approach to finding minimum-exposure paths in wireless sensor networks. ICRA 2010: 335-341 - [c16]Silvia Ferrari, Greg Foderaro, Andrew Tremblay:
A probability density function approach to distributed sensors' path planning. ICRA 2010: 432-439 - 2009
- [c15]Silvia Ferrari, Rafael Fierro, Domagoj Tolic:
A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network. CDC 2009: 1080-1087 - [c14]Guoxian Zhang, Silvia Ferrari:
An adaptive artificial potential function approach for geometric sensing. CDC 2009: 7903-7910 - [c13]Gianluca Di Muro, Silvia Ferrari:
A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments. IJCNN 2009: 685-689 - 2008
- [c12]Rafael Fierro, Silvia Ferrari, Chenghui Cai:
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments. CDC 2008: 483-489 - [c11]Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, Antonius M. J. VanDongen, Craig Henriquez:
Biologically realizable reward-modulated hebbian training for spiking neural networks. IJCNN 2008: 1780-1786 - [c10]Chenghui Cai, Silvia Ferrari:
A Q-Learning approach to developing an automated neural computer player for the board game of CLUE®. IJCNN 2008: 2346-2352 - [c9]Gianluca Di Muro, Silvia Ferrari:
A constrained-optimization approach to training neural networks for smooth function approximation and system identification. IJCNN 2008: 2353-2359 - 2007
- [c8]Chenghui Cai, Silvia Ferrari:
Comparison of Information-Theoretic Objective Functions for Decision Support in Sensor Systems. ACC 2007: 3559-3564 - [c7]Kelli Baumgartner, Silvia Ferrari:
Optimal Placement of a Moving Sensor Network for Track Coverage. ACC 2007: 4040-4046 - [c6]Silvia Ferrari, Chenghui Cai, Rafael Fierro, Brent Perteet:
A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets. ACC 2007: 5316-5321 - 2006
- [c5]Silvia Ferrari:
Track coverage in sensor networks. ACC 2006: 1-7 - [c4]Chenghui Cai, Silvia Ferrari:
On the Development of an Intelligent Computer Player for CLUE: a Case Study on Preposterior Decision Analysis. ACC 2006: 4350-4355 - 2005
- [c3]Kelli Baumgartner, Silvia Ferrari, C. Gabrielle Salfati:
Bayesian Network Modeling of Offender Behavior for Criminal Profiling. CDC/ECC 2005: 2702-2709 - 2002
- [c2]Silvia Ferrari, Robert F. Stengel:
An adaptive critic global controller. ACC 2002: 2665-2670 - 2001
- [c1]Silvia Ferrari, Robert F. Stengel:
Algebraic training of a neural network. ACC 2001: 1605-1610
Informal and Other Publications
- 2023
- [i8]Yucheng Chen, Pingping Zhu, Anthony Alers, Tobias Egner, Marc A. Sommer, Silvia Ferrari:
Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception. CoRR abs/2309.07720 (2023) - 2022
- [i7]Keith A. LeGrand, Silvia Ferrari:
Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering. CoRR abs/2207.11356 (2022) - [i6]Jaejeong Shin, Shi Chang, Matthew J. Bays, Joshua Weaver, Thomas A. Wettergren, Silvia Ferrari:
Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition. CoRR abs/2210.10267 (2022) - 2021
- [i5]Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT). CoRR abs/2108.11236 (2021) - 2020
- [i4]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. CoRR abs/2003.01891 (2020) - [i3]Chang Liu, Zhihao Liao, Silvia Ferrari:
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CoRR abs/2009.06021 (2020) - 2018
- [i2]Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari:
Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. CoRR abs/1810.00696 (2018) - 2014
- [i1]Hongchuan Wei, Wenjie Lu, Silvia Ferrari:
An Information Value Function for Nonparametric Gaussian Processes. CoRR abs/1406.3296 (2014)
Coauthor Index
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